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2008 Eighth International Conference on Intelligent Systems Design and Applications
Intelligent Control for Principal Axis of Variable Vector Propeller of Submersible Vehicle
November 26-November 28
ISBN: 978-0-7695-3382-7
| ASCII Text | x | ||
| Liu Sheng, Xu Dong-hao, "Intelligent Control for Principal Axis of Variable Vector Propeller of Submersible Vehicle," Intelligent Systems Design and Applications, International Conference on, vol. 2, pp. 335-339, 2008 Eighth International Conference on Intelligent Systems Design and Applications, 2008. | |||
| BibTex | x | ||
| @article{ 10.1109/ISDA.2008.11, author = {Liu Sheng and Xu Dong-hao}, title = {Intelligent Control for Principal Axis of Variable Vector Propeller of Submersible Vehicle}, journal ={Intelligent Systems Design and Applications, International Conference on}, volume = {2}, year = {2008}, isbn = {978-0-7695-3382-7}, pages = {335-339}, doi = {http://doi.ieeecomputersociety.org/10.1109/ISDA.2008.11}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Intelligent Systems Design and Applications, International Conference on TI - Intelligent Control for Principal Axis of Variable Vector Propeller of Submersible Vehicle SN - 978-0-7695-3382-7 SP335 EP339 A1 - Liu Sheng, A1 - Xu Dong-hao, PY - 2008 KW - Variable Vector Propeller KW - Permanent Magnet Synchronous Motor KW - adaptive Fuzzy control VL - 2 JA - Intelligent Systems Design and Applications, International Conference on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISDA.2008.11
The mathematical model of the principal axis control system of variable vector propeller of submersible vehicle is built. Because of the uncertainty of moment of inertia and damping coefficient, the control system may not achieve expected optimal performance, even causing instability. In accordance with these problems, the model reference adaptive fuzzy PID (Proportional Integration Differential) control system is designed in this paper. This system firstly analyses the factors of moment of inertia and damping coefficient, using the error and the error rate of model reference's speed and practical speed as input, and then the system adjusts the PID parameters respectively in real-time way using the adaptive fuzzy PID controller. The result of system simulation show that the system present in this paper has better adaptive ability to achieve the expected optimal performance compared with the PID control system and the proposed adaptive fuzzy PID control strategy can improve the system robustness.
Index Terms:
Variable Vector Propeller, Permanent Magnet Synchronous Motor, adaptive Fuzzy control
Citation:
Liu Sheng, Xu Dong-hao, "Intelligent Control for Principal Axis of Variable Vector Propeller of Submersible Vehicle," isda, vol. 2, pp.335-339, 2008 Eighth International Conference on Intelligent Systems Design and Applications, 2008
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